import sys
import os
import logging
import re
import json
from typing import Dict, List, Any, Optional, Tuple

# 添加项目根路径到 sys.path
sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '..', '..'))

# 导入 MySQLUtil
from shared.utils.MySQLUtil import MySQLUtil

# 设置日志
logger = logging.getLogger(__name__)

def get_工作总体满意度(
    project_id: int,
    questionnaire_ids: List[int],
    product_code: Optional[str] = None,
    project_code: Optional[str] = None,
    region_code: Optional[str] = None,
    education: Optional[str] = None,
    group_by_field: Optional[str] = None
) -> Dict[str, Any]:
    """
    工作总体满意度 - 指标计算函数
    
    ## 指标说明
    该指标用于计算毕业生对工作总体满意度的情况，通过问卷中前3项选项占比前5项总和的比值来衡量。
    指标计算涉及多个届次的数据对比，需要关联学生基础信息进行多维度分析。
    
    ## Args
        project_id (int): 项目ID，用于查询项目配置信息
        questionnaire_ids (List[int]): 问卷ID集合，用于确定数据范围
        product_code (Optional[str]): 产品编码，用于路由到特定计算逻辑
        project_code (Optional[str]): 项目编码，用于路由到特定计算逻辑
        region_code (Optional[str]): 区域编码，用于路由到特定计算逻辑
        education (Optional[str]): 学历筛选条件，可选值：[本科毕业生,专科毕业生,硕士研究生,博士研究生]
        group_by_field (Optional[str]): 分组维度字段，可选值：['college', 'spec', 'sex']
        
    ## 示例
    ### 输入
    ```json
    {
        "project_id": 5895,
        "questionnaire_ids": [11158, 11159],
        "education": "本科毕业生"
    }
    ```
    
    ### 输出
    ```json
    {
        "success": true,
        "message": "ok", 
        "code": 0,
        "result": {
            "summary": {
                "satisfaction_ratio": 0.8100,
                "total_count": 200,
                "satisfied_count": 162,
                "description": "工作总体满意度为 81.00%"
            },
            "distribution": [
                {
                    "dimension_name": "计算机学院",
                    "dimension_field": "college",
                    "ratio": 0.85,
                    "count": 120
                },
                {
                    "dimension_name": "经济学院",
                    "dimension_field": "college",
                    "ratio": 0.78,
                    "count": 80
                }
            ]
        }
    }
    ```
    """
    logger.info(f"开始计算指标: 工作总体满意度, 项目ID: {project_id}")
    
    try:
        db = MySQLUtil()  

        # 参数验证
        allowed_fields = ['college', 'spec', 'sex']
        if group_by_field and group_by_field not in allowed_fields:
            raise ValueError(f"无效的分组字段: {group_by_field}, 只允许: {allowed_fields}")

        # 1. 查询项目配置信息
        project_sql = """
        SELECT client_code, item_year, dy_target_items, split_tb_paper 
        FROM client_item 
        WHERE id = %s
        """
        project_info = db.fetchone(project_sql, (project_id,))
        if not project_info:
            raise ValueError(f"未找到项目ID={project_id}的配置信息")

        client_code = project_info['client_code']
        item_year = project_info['item_year']
        split_tb_paper = project_info['split_tb_paper']
        
        logger.info(f"项目配置: client_code={client_code}, item_year={item_year}, split_tb_paper={split_tb_paper}")

        # 2. 计算 shard_tb_key
        shard_tb_key = re.sub(r'^[A-Za-z]*0*', '', client_code)
        logger.info(f"计算得到 shard_tb_key: {shard_tb_key}")

        # 3. 查询问卷信息
        questionnaire_sql = f"""
        SELECT id, dy_target 
        FROM wt_template_customer 
        WHERE id IN ({','.join(['%s'] * len(questionnaire_ids))})
        """
        questionnaires = db.fetchall(questionnaire_sql, tuple(questionnaire_ids))
        if not questionnaires:
            raise ValueError(f"未找到问卷ID集合={questionnaire_ids}的配置信息")
        
        logger.info(f"查询到问卷信息: {questionnaires}")

        # 4. 过滤GRADUATE_SHORT调研对象的问卷
        valid_questionnaire_ids = [q['id'] for q in questionnaires if q['dy_target'] == 'GRADUATE_SHORT']
        if not valid_questionnaire_ids:
            raise ValueError("未找到GRADUATE_SHORT调研对象的问卷ID")
            
        logger.info(f"找到有效问卷ID: {valid_questionnaire_ids}")

        # 5. 查询问题信息
        question_sql = """
        SELECT id, wt_code, wt_obj 
        FROM wt_template_question_customer 
        WHERE cd_template_id = %s AND wt_code = 'T00000376' AND is_del = 0
        """
        question_info = db.fetchone(question_sql, (valid_questionnaire_ids[0],))
        if not question_info:
            raise ValueError("未找到问题编码T00000376的问题信息")
            
        logger.info(f"找到问题信息: id={question_info['id']}")

        # 6. 构建动态表名
        answer_table = f"re_dy_paper_answer_{split_tb_paper}"
        student_table = f"dim_client_target_baseinfo_student_{item_year}"

        # 7. 构建SQL查询
        education_condition = f"AND s.education = '{education}'" if education else ""
        params = (valid_questionnaire_ids[0], question_info['id'], shard_tb_key, item_year)
        
        # 8. 计算整体满意度
        overall_sql = f"""
        SELECT
            SUM(t1.c1) as c1, SUM(t1.c2) as c2, SUM(t1.c3) as c3, 
            SUM(t1.c4) as c4, SUM(t1.c5) as c5
        FROM
            {answer_table} t1
            JOIN {student_table} s ON t1.target_no = s.target_no
        WHERE
            t1.cd_template_id = %s
            AND t1.wid = %s
            AND t1.ans_true = 1
            AND s.shard_tb_key = %s
            AND s.item_year = %s
            {education_condition}
        """
        
        overall_result = db.fetchone(overall_sql, params)
        if not overall_result:
            raise ValueError("未找到有效的答案数据")
            
        # 计算整体满意度
        counts = [overall_result[f'c{i}'] or 0 for i in range(1, 6)]
        total_count = sum(counts)
        satisfied_count = sum(counts[:3])  # 前三项
        satisfaction_ratio = satisfied_count / total_count if total_count > 0 else 0
        
        # 9. 分组查询（如果指定了分组字段）
        distribution = []
        if group_by_field:
            grouped_sql = f"""
            SELECT
                s.{group_by_field} AS dimension_name,
                SUM(t1.c1) + SUM(t1.c2) + SUM(t1.c3) as satisfied_count,
                SUM(t1.c1) + SUM(t1.c2) + SUM(t1.c3) + SUM(t1.c4) + SUM(t1.c5) as total_count
            FROM
                {answer_table} t1
                JOIN {student_table} s ON t1.target_no = s.target_no
            WHERE
                t1.cd_template_id = %s
                AND t1.wid = %s
                AND t1.ans_true = 1
                AND s.shard_tb_key = %s
                AND s.item_year = %s
                AND s.{group_by_field} IS NOT NULL
                AND s.{group_by_field} != ''
                {education_condition}
            GROUP BY
                s.{group_by_field}
            ORDER BY satisfied_count DESC
            """
            
            grouped_results = db.fetchall(grouped_sql, params)
            for row in grouped_results:
                group_total = row['total_count'] or 0
                group_satisfied = row['satisfied_count'] or 0
                group_ratio = group_satisfied / group_total if group_total > 0 else 0
                
                distribution.append({
                    "dimension_name": row['dimension_name'],
                    "dimension_field": group_by_field,
                    "ratio": round(group_ratio, 4),
                    "count": group_total
                })

        logger.info(f"指标 '工作总体满意度' 计算成功")
        return {
            "success": True,
            "message": "ok",
            "code": 0,
            "result": {
                "summary": {
                    "satisfaction_ratio": round(satisfaction_ratio, 4),
                    "total_count": total_count,
                    "satisfied_count": satisfied_count,
                    "description": f"工作总体满意度为 {satisfaction_ratio * 100:.2f}%"
                },
                "distribution": distribution
            }
        }

    except Exception as e:
        logger.error(f"计算指标 '工作总体满意度' 时发生错误: {str(e)}", exc_info=True)
        return {
            "success": False,
            "message": f"数据获取失败: 工作总体满意度",
            "code": 500,
            "error": str(e)
        }